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Working with masks

Introduction

Scipp supports non-destructive masks stored alongside data. In this tutorial we learn how to create and use masks.

This tutorial contains exercises, but solutions are included directly. We encourage you to download this notebook and run through it step by step before looking at the solutions. As a side effect, the exercises will help in getting more familiar with the basic concepts of operations.

First, in addition to importing scipp, we import scippneutron since this is required for loading Nexus files:

[1]:

import scipp as sc
import scippneutron as scn
import numpy as np

We start by loading some data (download here), in this case measured with a prototype of the LoKI detectors at the LARMOR beamline:

[2]:

data = scn.load(filename='LARMOR00049338')
counts = sc.sum(data, 'tof') # used later
data

Workspace run log 'good_frames' has unrecognised units: 'frames'
Workspace run log 'raw_frames' has unrecognised units: 'frames'

[2]:
Show/Hide data repr Show/Hide attributes
scipp.DataArray (1.71 GB)
    • spectrum: 114688
    • tof: 1000
    • position
      (spectrum)
      vector_3_float64
      m
      [ 0.778 0.13046651 29.85877813], [ 0.77506458 0.13046651 29.85877813], ..., [-5.69651663e-01 -2.28657089e-02 2.99532831e+01], [-5.72000000e-01 -2.28657089e-02 2.99532831e+01]
      Values:
      [(0.778000, 0.130467, 29.858778), (0.775065, 0.130467, 29.858778), ..., (-0.569652, -0.022866, 29.953283), (-0.572000, -0.022866, 29.953283)]
    • sample_position
      ()
      vector_3_float64
      m
      [ 0. 0. 25.3]
      Values:
      array([ 0. ,  0. , 25.3])
    • source_position
      ()
      vector_3_float64
      m
      [0. 0. 0.]
      Values:
      array([0., 0., 0.])
    • spectrum
      (spectrum)
      int32
      11, 12, ..., 114697, 114698
      Values:
      array([    11,     12,     13, ..., 114696, 114697, 114698], dtype=int32)
    • tof
      (tof [bin-edge])
      float64
      µs
      5.0, 105.0, ..., 99905.0, 100000.0
      Values:
      array([5.0000e+00, 1.0500e+02, 2.0500e+02, ..., 9.9805e+04, 9.9905e+04,
       1.0000e+05])
    • (spectrum, tof)
      float64
      counts
      0.0, 0.0, ..., 0.0, 0.0
      σ² = 0.0, 0.0, ..., 0.0, 0.0
      Values:
      array([[0., 0., 0., ..., 0., 0., 0.],
       [0., 0., 0., ..., 0., 0., 0.],
       [0., 0., 0., ..., 0., 0., 0.],
       ...,
       [0., 0., 0., ..., 0., 0., 0.],
       [0., 0., 0., ..., 0., 0., 0.],
       [0., 0., 0., ..., 0., 0., 0.]])

      Variances:
                             
      array([[0., 0., 0., ..., 0., 0., 0.],
       [0., 0., 0., ..., 0., 0., 0.],
       [0., 0., 0., ..., 0., 0., 0.],
       ...,
       [0., 0., 0., ..., 0., 0., 0.],
       [0., 0., 0., ..., 0., 0., 0.],
       [0., 0., 0., ..., 0., 0., 0.]])
    • A1HCent
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [0.000600, 0.000600, ..., 0.000600, 0.000600]
    • A1HGap
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [19.999201, 19.999201, ..., 19.999201, 19.999201]
    • A1VCent
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-0.001650, -0.001650, ..., -0.001650, -0.001650]
    • A1VGap
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [20.000500, 20.000500, ..., 20.000500, 20.000500]
    • Ana_Arc
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [0.000000, 0.000000, ..., 0.000000, 0.000000]
    • Ana_Trans
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [0.000000, 0.000000, ..., 0.000000, 0.000000]
    • BenchLift
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [0.000000, 0.000000, ..., 0.000000, 0.000000]
    • BenchStatus
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [0.000000, 0.000000, ..., 0.000000, 0.000000]
    • Bench_Rot
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [89.998398, 89.998398, ..., 89.998398, 89.998398]
    • BlockhouseVacuum
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [0.650000, 0.650000, ..., 0.650000, 0.650000]
    • CJHCent
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-0.000350, -0.000350, ..., -0.000350, -0.000350]
    • CJHGap
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [34.999100, 34.999100, ..., 34.999100, 34.999100]
    • CJVCent
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [0.002150, 0.002150, ..., 0.002150, 0.002150]
    • CJVGap
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [34.990898, 34.990898, ..., 34.990898, 34.990898]
    • ChangerTranslation
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-251.000000, -251.000000, ..., -251.000000, -251.000000]
    • Chi
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-0.099956, -0.099956, ..., -0.099956, -0.099956]
    • CoarseZ
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-125.000000, -125.000000, ..., -125.000000, -125.000000]
    • DCMagField1
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-0.002000, -0.002000, ..., -0.002000, -0.002000]
    • DCMagField2
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [0.000000, 0.000000, ..., 0.000000, 0.000000]
    • DCMagField3
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-1.085000, -1.085000, ..., -1.085000, -1.085000]
    • DCMagField4
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-1.752000, -1.752000, ..., -1.752000, -1.752000]
    • EPICS_PUTLOG
      ()
      DataArray
      {dims=[time: 5], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 5}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:12.000000000, 2019-12-16T17:53:31.000000000, ..., 2019-12-16T17:53:48.000000000, 2019-12-16T17:53:48.000000000]
Data:
                            string     [dimensionless]  (time)  ["Changed PV: IN:LARMOR:DAE:ENDRUN new=1 old=0     ", "Changed PV: IN:LARMOR:DAE:TITLE:SP new=76 old=83 ", ..., "Changed PV: IN:LARMOR:DAE:BEGINRUN new=1 old=1   ", "Changed PV: IN:LARMOR:DAE:ENDSEWAIT new=1 old=1  "]
    • Echo_Coil
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [0.000000, 0.000000, ..., 0.000000, 0.000000]
    • Echo_Coil_SP
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [0.000000, 0.000000, ..., 0.000000, 0.000000]
    • FineZ
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [0.161000, 0.161000, ..., 0.161000, 0.161000]
    • ICP_DAE_TD
      ()
      DataArray
      {dims=[time: 16], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 16}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:29.000000000, 2019-12-16T17:53:29.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [46520.398438, 46520.398438, ..., 46520.398438, 46520.398438]
    • ICP_SYS_TD
      ()
      DataArray
      {dims=[time: 16], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 16}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:29.000000000, 2019-12-16T17:53:29.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-3.272500, -3.272500, ..., -3.272500, -3.272500]
    • IncidentVacuum
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [0.002800, 0.002800, ..., 0.002800, 0.002800]
    • InstrumentDiskPhase
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [2450.000000, 2450.000000, ..., 2450.000000, 2450.000000]
    • M3Height
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-0.000025, -0.000025, ..., -0.000025, -0.000025]
    • M4Trans
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [0.002400, 0.002400, ..., 0.002400, 0.002400]
    • Mag1_Theta
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-63.420803, -63.420803, ..., -63.420803, -63.420803]
    • Mag1_Tx0
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [3399.998535, 3399.998535, ..., 3399.998535, 3399.998535]
    • Mag1_Ty1
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-302.004730, -302.004730, ..., -302.004791, -302.004791]
    • Mag1_Ty2
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [302.002960, 302.002960, ..., 302.002960, 302.002960]
    • Mag2_Theta
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-63.406376, -63.406376, ..., -63.406376, -63.406376]
    • Mag2_Tx0
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [2300.013672, 2300.013672, ..., 2300.013672, 2300.013672]
    • Mag2_Ty1
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-307.008453, -307.008453, ..., -307.008453, -307.008453]
    • Mag2_Ty2
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [308.001160, 308.001160, ..., 308.001190, 308.001190]
    • Mag3_Theta
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-63.020290, -63.020290, ..., -63.020290, -63.020290]
    • Mag3_Tx0
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-1130.002197, -1130.002197, ..., -1130.002197, -1130.002197]
    • Mag3_Ty1
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-370.004608, -370.004608, ..., -370.004608, -370.004608]
    • Mag3_Ty2
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [370.003387, 370.003387, ..., 370.003387, 370.003387]
    • Mag4_Theta
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-63.020111, -63.020111, ..., -63.020111, -63.020111]
    • Mag4_Tx0
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-1800.000244, -1800.000244, ..., -1800.000244, -1800.000244]
    • Mag4_Ty1
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-370.009460, -370.009460, ..., -370.009491, -370.009491]
    • Mag4_Ty2
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [369.999390, 369.999390, ..., 369.999390, 369.999390]
    • Moderator_Temp
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [17.879999, 17.879999, ..., 17.879999, 17.879999]
    • Pol_Position
      ()
      DataArray
      {dims=[time: 2], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 2}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:51.000000000]
Data:
                            string     [dimensionless]  (time)  ["FOM", "FOM"]
    • Psi
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-0.348938, -0.348938, ..., -0.348938, -0.348938]
    • RFCoilTemp1
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [21.499756, 21.499756, ..., 21.494925, 21.494925]
    • RFCoilTemp2
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [21.771128, 21.771128, ..., 21.762672, 21.762672]
    • RFCoilTemp3
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [23.484751, 23.484751, ..., 23.466646, 23.466646]
    • RFCoilTemp4
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [26.476938, 26.476938, ..., 26.457626, 26.457626]
    • S1HCent
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [0.003400, 0.003400, ..., 0.003400, 0.003400]
    • S1HGap
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [13.001600, 13.001600, ..., 13.001600, 13.001600]
    • S1VCent
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-0.002500, -0.002500, ..., -0.002500, -0.002500]
    • S1VGap
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [13.007600, 13.007600, ..., 13.007600, 13.007600]
    • S2HCent
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-0.001500, -0.001500, ..., -0.001500, -0.001500]
    • S2HGap
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-0.000800, -0.000800, ..., -0.000800, -0.000800]
    • S2VCent
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-0.000500, -0.000500, ..., -0.000500, -0.000500]
    • S2VGap
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-0.000600, -0.000600, ..., -0.000600, -0.000600]
    • SANSTank_Vacuum
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [0.030000, 0.030000, ..., 0.030000, 0.030000]
    • SamplePos
      ()
      DataArray
      {dims=[time: 2], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 2}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:51.000000000]
Data:
                            string     [dimensionless]  (time)  ["CT", "CT"]
    • SampleX
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [15.004000, 15.004000, ..., 15.004000, 15.004000]
    • ShutterPosition
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [1.000000, 1.000000, ..., 1.000000, 1.000000]
    • SimL1
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [800.000000, 800.000000, ..., 800.000000, 800.000000]
    • SimL2
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [800.000000, 800.000000, ..., 800.000000, 800.000000]
    • SimPSO
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [100.000000, 100.000000, ..., 100.000000, 100.000000]
    • SimTheta
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-20.000000, -20.000000, ..., -20.000000, -20.000000]
    • T0Phase
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [0.000000, 0.000000, ..., 0.000000, 0.000000]
    • TargetDiskPhase
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [2750.000000, 2750.000000, ..., 2750.000000, 2750.000000]
    • Theta
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-0.003015, -0.003015, ..., -0.003015, -0.003015]
    • Translation
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-0.893000, -0.893000, ..., -0.893000, -0.893000]
    • a2_height
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [16.830000, 16.830000, ..., 16.830000, 16.830000]
    • a2_trans
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [11.680000, 11.680000, ..., 11.680000, 11.680000]
    • count_rate
      ()
      DataArray
      {dims=[time: 24], unit=counts, coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:29.000000000, 2019-12-16T17:53:29.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [counts]         (time)  [0.000000, 0.000000, ..., 0.000000, 0.000000]
    • current_period
      ()
      int64
      1
      Values:
      array(1)
    • dae_beam_current
      ()
      DataArray
      {dims=[time: 24], unit=µAh, coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:29.000000000, 2019-12-16T17:53:29.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [µAh]           (time)  [0.000000, 0.000000, ..., 175.565994, 175.565994]
    • dmp
      ()
      int64
      0
      Values:
      array(0)
    • dmp_freq
      ()
      int64
      0
      Values:
      array(0)
    • dmp_units
      ()
      int64
      0
      Values:
      array(0)
    • dur
      ()
      int64
      56
      Values:
      array(56)
    • dur_freq
      ()
      int64
      0
      Values:
      array(0)
    • dur_secs
      ()
      int64
      7
      Values:
      array(7)
    • dur_wanted
      ()
      int64
      0
      Values:
      array(0)
    • durunits
      ()
      int64
      1
      Values:
      array(1)
    • end_time
      ()
      string
      2019-12-18T18:36:41
      Values:
      '2019-12-18T18:36:41'
    • flipper_onoff
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [1.000000, 1.000000, ..., 1.000000, 1.000000]
    • freq
      ()
      int64
      1
      Values:
      array(1)
    • gd_prtn_chrg
      ()
      float64
      2.750211238861084
      Values:
      array(2.75021124)
    • good_frames
      ()
      DataArray
      {dims=[time: 2], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 2}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:29.000000000, 2019-12-16T17:53:57.000000000]
Data:
                            int32      [dimensionless]  (time)  [1461, 258]
    • good_uah_log
      ()
      DataArray
      {dims=[time: 24], unit=µAh, coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:29.000000000, 2019-12-16T17:53:29.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [µAh]           (time)  [1.460050, 1.460050, ..., 0.257832, 0.257832]
    • goodfrm
      ()
      int64
      2752
      Values:
      array(2752)
    • icp_event
      ()
      DataArray
      {dims=[time: 5], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 5}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:49.000000000, 2019-12-16T17:53:49.000000000, ..., 2019-12-16T17:53:56.000000000, 2019-12-16T17:53:56.000000000]
Data:
                            string     [dimensionless]  (time)  ["CHANGE_PERIOD 1                                           ", "START_COLLECTION PERIOD 1 GF 0 RF 0 GUAH 0.000000         ", ..., "STOP_COLLECTION PERIOD 1 GF 344 RF 344 GUAH 0.343776 DUR 7", "END                                                       "]
    • instrument_name
      ()
      string
      LARMOR
      Values:
      'LARMOR'
    • is_running
      ()
      DataArray
      {dims=[time: 2], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 2}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:29.000000000, 2019-12-16T17:53:57.000000000]
Data:
                            int32      [dimensionless]  (time)  [0, 0]
    • is_waiting
      ()
      DataArray
      {dims=[time: 2], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 2}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:29.000000000, 2019-12-16T17:53:57.000000000]
Data:
                            int32      [dimensionless]  (time)  [0, 0]
    • measurement_id
      ()
      string
      0
      Values:
      '0'
    • measurement_label
      ()
      string
      Values:
      ''
    • measurement_subid
      ()
      string
      0
      Values:
      '0'
    • measurement_type
      ()
      string
      sans
      Values:
      'sans'
    • mon_sum1
      ()
      int64
      0
      Values:
      array(0)
    • mon_sum2
      ()
      int64
      0
      Values:
      array(0)
    • mon_sum3
      ()
      int64
      0
      Values:
      array(0)
    • monitor1
      ()
      DataArray
      {dims=[tof: 1000], unit=counts, coords=[sample_position, position, tof, source_position]}
      Values:
      <scipp.DataArray>
Dimensions: {{tof, 1000}}
Coordinates:
  position                  vector_3_float64  [m]              ()  [(0.000000, 0.000000, 9.819500)]
  sample_position           vector_3_float64  [m]              ()  [(0.000000, 0.000000, 25.300000)]
  source_position           vector_3_float64  [m]              ()  [(0.000000, 0.000000, 0.000000)]
  tof                       float64    [µs]            (tof [bin-edge])  [5.000000, 105.000000, ..., 99905.000000, 100000.000000]
Data:
                            float64    [counts]         (tof)  [287.000000, 147.000000, ..., 14.000000, 3986.000000]  [287.000000, 147.000000, ..., 14.000000, 3986.000000]
Attributes:
  instrument_name           string     [dimensionless]  ()  ["LARMOR"]
  spectrum                  int32      [dimensionless]  ()  [1]
    • monitor2
      ()
      DataArray
      {dims=[tof: 1000], unit=counts, coords=[sample_position, position, tof, source_position]}
      Values:
      <scipp.DataArray>
Dimensions: {{tof, 1000}}
Coordinates:
  position                  vector_3_float64  [m]              ()  [(0.000000, 0.000000, 20.313000)]
  sample_position           vector_3_float64  [m]              ()  [(0.000000, 0.000000, 25.300000)]
  source_position           vector_3_float64  [m]              ()  [(0.000000, 0.000000, 0.000000)]
  tof                       float64    [µs]            (tof [bin-edge])  [5.000000, 105.000000, ..., 99905.000000, 100000.000000]
Data:
                            float64    [counts]         (tof)  [6.000000, 11.000000, ..., 4.000000, 8.000000]  [6.000000, 11.000000, ..., 4.000000, 8.000000]
Attributes:
  instrument_name           string     [dimensionless]  ()  ["LARMOR"]
  spectrum                  int32      [dimensionless]  ()  [2]
    • monitor3
      ()
      DataArray
      {dims=[tof: 1000], unit=counts, coords=[sample_position, position, tof, source_position]}
      Values:
      <scipp.DataArray>
Dimensions: {{tof, 1000}}
Coordinates:
  position                  vector_3_float64  [m]              ()  [(0.000000, 0.000000, 24.056000)]
  sample_position           vector_3_float64  [m]              ()  [(0.000000, 0.000000, 25.300000)]
  source_position           vector_3_float64  [m]              ()  [(0.000000, 0.000000, 0.000000)]
  tof                       float64    [µs]            (tof [bin-edge])  [5.000000, 105.000000, ..., 99905.000000, 100000.000000]
Data:
                            float64    [counts]         (tof)  [0.000000, 0.000000, ..., 0.000000, 0.000000]  [0.000000, 0.000000, ..., 0.000000, 0.000000]
Attributes:
  instrument_name           string     [dimensionless]  ()  ["LARMOR"]
  spectrum                  int32      [dimensionless]  ()  [3]
    • monitor4
      ()
      DataArray
      {dims=[tof: 1000], unit=counts, coords=[sample_position, position, tof, source_position]}
      Values:
      <scipp.DataArray>
Dimensions: {{tof, 1000}}
Coordinates:
  position                  vector_3_float64  [m]              ()  [(0.000000, 0.000000, 25.760000)]
  sample_position           vector_3_float64  [m]              ()  [(0.000000, 0.000000, 25.300000)]
  source_position           vector_3_float64  [m]              ()  [(0.000000, 0.000000, 0.000000)]
  tof                       float64    [µs]            (tof [bin-edge])  [5.000000, 105.000000, ..., 99905.000000, 100000.000000]
Data:
                            float64    [counts]         (tof)  [28.000000, 34.000000, ..., 11.000000, 25.000000]  [28.000000, 34.000000, ..., 11.000000, 25.000000]
Attributes:
  instrument_name           string     [dimensionless]  ()  ["LARMOR"]
  spectrum                  int32      [dimensionless]  ()  [4]
    • monitor5
      ()
      DataArray
      {dims=[tof: 1000], unit=counts, coords=[sample_position, position, tof, source_position]}
      Values:
      <scipp.DataArray>
Dimensions: {{tof, 1000}}
Coordinates:
  position                  vector_3_float64  [m]              ()  [(0.000000, 0.000000, 29.650000)]
  sample_position           vector_3_float64  [m]              ()  [(0.000000, 0.000000, 25.300000)]
  source_position           vector_3_float64  [m]              ()  [(0.000000, 0.000000, 0.000000)]
  tof                       float64    [µs]            (tof [bin-edge])  [5.000000, 105.000000, ..., 99905.000000, 100000.000000]
Data:
                            float64    [counts]         (tof)  [0.000000, 0.000000, ..., 0.000000, 0.000000]  [0.000000, 0.000000, ..., 0.000000, 0.000000]
Attributes:
  instrument_name           string     [dimensionless]  ()  ["LARMOR"]
  spectrum                  int32      [dimensionless]  ()  [5]
    • monitor_sum_1
      ()
      DataArray
      {dims=[time: 2], unit=counts, coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 2}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:29.000000000, 2019-12-16T17:53:57.000000000]
Data:
                            int32      [counts]         (time)  [0, 0]
    • nchannels
      ()
      int64
      1000
      Values:
      array(1000)
    • np_ratio
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:29.000000000, 2019-12-16T17:53:29.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [0.000000, 0.000000, ..., 0.000000, 0.000000]
    • nperiods
      ()
      int64
      1
      Values:
      array(1)
    • nspectra
      ()
      int64
      114698
      Values:
      array(114698)
    • period
      ()
      DataArray
      {dims=[time: 2], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 2}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:29.000000000, 2019-12-16T17:53:57.000000000]
Data:
                            int32      [dimensionless]  (time)  [1, 1]
    • period 1
      ()
      DataArray
      {dims=[time: 1], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 1}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:49.000000000]
Data:
                            bool       [dimensionless]  (time)  [True]
    • periods
      ()
      DataArray
      {dims=[time: 1], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 1}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:49.000000000]
Data:
                            int32      [dimensionless]  (time)  [1]
    • placeholder monitor
      ()
      DataArray
      {dims=[tof: 1000], unit=counts, coords=[sample_position, position, tof, source_position]}
      Values:
      <scipp.DataArray>
Dimensions: {{tof, 1000}}
Coordinates:
  position                  vector_3_float64  [m]              ()  [(0.000000, 0.000000, 0.000000)]
  sample_position           vector_3_float64  [m]              ()  [(0.000000, 0.000000, 25.300000)]
  source_position           vector_3_float64  [m]              ()  [(0.000000, 0.000000, 0.000000)]
  tof                       float64    [µs]            (tof [bin-edge])  [5.000000, 105.000000, ..., 99905.000000, 100000.000000]
Data:
                            float64    [counts]         (tof)  [0.000000, 0.000000, ..., 0.000000, 0.000000]  [0.000000, 0.000000, ..., 0.000000, 0.000000]
Attributes:
  instrument_name           string     [dimensionless]  ()  ["LARMOR"]
  spectrum                  int32      [dimensionless]  ()  [10]
    • pol_arc
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-0.083941, -0.083941, ..., -0.083941, -0.083941]
    • pol_trans
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [0.000000, 0.000000, ..., 0.000000, 0.000000]
    • proton_charge_by_period
      ()
      float64
      0.3437764048576355
      Values:
      array(0.3437764)
    • raw_frames
      ()
      DataArray
      {dims=[time: 2], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 2}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:29.000000000, 2019-12-16T17:53:57.000000000]
Data:
                            int32      [dimensionless]  (time)  [1461, 258]
    • raw_uah_log
      ()
      DataArray
      {dims=[time: 24], unit=µAh, coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:29.000000000, 2019-12-16T17:53:29.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [µAh]           (time)  [1.460050, 1.460050, ..., 0.257832, 0.257832]
    • rawfrm
      ()
      int64
      2752
      Values:
      array(2752)
    • rb_proposal
      ()
      int64
      1930522
      Values:
      array(1930522)
    • run_end
      ()
      string
      2019-12-18T18:36:41
      Values:
      '2019-12-18T18:36:41'
    • run_header
      ()
      string
      LAR 49293 Dalgliesh,Raspino,Ho LOKI Detector Test Dumm 16-DEC-2019 17:53:49 0.34
      Values:
      'LAR 49293 Dalgliesh,Raspino,Ho  LOKI Detector Test Dumm 16-DEC-2019  17:53:49     0.34'
    • run_number
      ()
      string
      49338
      Values:
      '49338'
    • run_start
      ()
      string
      2019-12-18T17:36:11
      Values:
      '2019-12-18T17:36:11'
    • run_status
      ()
      DataArray
      {dims=[time: 2], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 2}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:29.000000000, 2019-12-16T17:53:57.000000000]
Data:
                            int32      [dimensionless]  (time)  [1, 1]
    • run_title
      ()
      string
      RT1 a1=20x20 a2=6x8mm_SANS
      Values:
      'RT1 a1=20x20 a2=6x8mm_SANS'
    • running
      ()
      DataArray
      {dims=[time: 2], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 2}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:49.000000000, 2019-12-16T17:53:56.000000000]
Data:
                            bool       [dimensionless]  (time)  [True, False]
    • s2south
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-0.000200, -0.000200, ..., -0.000200, -0.000200]
    • sample
      ()
      PyObject
      <mantid.api._api.Sample object at 0x7fdd77e22030>
      Values:
      <mantid.api._api.Sample object at 0x7fdd77e22030>
    • smc100_1
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-125.000000, -125.000000, ..., -125.000000, -125.000000]
    • spinflipper_curr
      ()
      DataArray
      {dims=[time: 184], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 184}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [5.900000, 5.800000, ..., 5.900000, 5.900000]
    • start_time
      ()
      string
      2019-12-18T17:36:11
      Values:
      '2019-12-18T17:36:11'
    • tot_prtn_chrg
      ()
      float64
      2.750211238861084
      Values:
      array(2.75021124)
    • total_counts
      ()
      DataArray
      {dims=[time: 2], unit=counts, coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 2}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:29.000000000, 2019-12-16T17:53:57.000000000]
Data:
                            int32      [counts]         (time)  [0, 0]

Note that the exercises in the following are fictional and do not represent the actual SANS data reduction workflow.

Masks are variables with dtype=bool, stored in the masks dict of a data array. The result of comparison between variables can thus be used as masks:

[3]:

data.coords['spectrum'] < sc.scalar(100)

[3]:
Show/Hide data repr Show/Hide attributes
scipp.Variable (112.00 KB)
    • (spectrum: 114688)
      bool
      True, True, ..., False, False
      Values:
      array([ True,  True,  True, ..., False, False, False])

Exercise 1: Masking a prompt pulse

  1. Create a prompt-pulse mask for the region between \(17500~\mathrm{\mu s}\) and \(19000~\mathrm{\mu s}\). Notes:

    • Use comparison operators such as ==, <= or >.

    • Combine multiple conditions into one using & (“and”), | (“or”), or ^ (“exclusive or”).

    • Masks are stored in a data array by storing them in the masks dictionary, e.g., data.masks['prompt-pulse'] = ....

    • If something goes wrong, masks can be removed with Python’s del, e.g., del data.masks['wrong'].

    • If you run into an error regarding a length mismatch when inserting the coordinate, remember that 'tof' is a bin-edge coordinate, i.e., it is by 1 longer than the number of bins. Use, e.g., only the left bin edges, i.e., all but the last, to create the masks.

  2. Use the HTML view and plot the data after masking to explore the effect.

  3. Pass a dict containing counts (computed above as counts = sc.sum(data, 'tof')) and the equivalent counts computed after masking to sc.plot. Use this to verify that the prompt-pulse mask results in removal of counts.

[4]:

tof = data.coords['tof']
data.masks['prompt-pulse'] = (tof['tof',:-1] > 17500.0 * sc.units.us) & (tof['tof',:-1] < 19000.0 * sc.units.us)
data

[4]:
Show/Hide data repr Show/Hide attributes
scipp.DataArray (1.71 GB)
    • spectrum: 114688
    • tof: 1000
    • position
      (spectrum)
      vector_3_float64
      m
      [ 0.778 0.13046651 29.85877813], [ 0.77506458 0.13046651 29.85877813], ..., [-5.69651663e-01 -2.28657089e-02 2.99532831e+01], [-5.72000000e-01 -2.28657089e-02 2.99532831e+01]
      Values:
      [(0.778000, 0.130467, 29.858778), (0.775065, 0.130467, 29.858778), ..., (-0.569652, -0.022866, 29.953283), (-0.572000, -0.022866, 29.953283)]
    • sample_position
      ()
      vector_3_float64
      m
      [ 0. 0. 25.3]
      Values:
      array([ 0. ,  0. , 25.3])
    • source_position
      ()
      vector_3_float64
      m
      [0. 0. 0.]
      Values:
      array([0., 0., 0.])
    • spectrum
      (spectrum)
      int32
      11, 12, ..., 114697, 114698
      Values:
      array([    11,     12,     13, ..., 114696, 114697, 114698], dtype=int32)
    • tof
      (tof [bin-edge])
      float64
      µs
      5.0, 105.0, ..., 99905.0, 100000.0
      Values:
      array([5.0000e+00, 1.0500e+02, 2.0500e+02, ..., 9.9805e+04, 9.9905e+04,
       1.0000e+05])
    • (spectrum, tof)
      float64
      counts
      0.0, 0.0, ..., 0.0, 0.0
      σ² = 0.0, 0.0, ..., 0.0, 0.0
      Values:
      array([[0., 0., 0., ..., 0., 0., 0.],
       [0., 0., 0., ..., 0., 0., 0.],
       [0., 0., 0., ..., 0., 0., 0.],
       ...,
       [0., 0., 0., ..., 0., 0., 0.],
       [0., 0., 0., ..., 0., 0., 0.],
       [0., 0., 0., ..., 0., 0., 0.]])

      Variances:
                             
      array([[0., 0., 0., ..., 0., 0., 0.],
       [0., 0., 0., ..., 0., 0., 0.],
       [0., 0., 0., ..., 0., 0., 0.],
       ...,
       [0., 0., 0., ..., 0., 0., 0.],
       [0., 0., 0., ..., 0., 0., 0.],
       [0., 0., 0., ..., 0., 0., 0.]])
    • prompt-pulse
      (tof)
      bool
      False, False, ..., False, False
      Values:
      array([False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False,  True,  True,  True,  True,  True,
        True,  True,  True,  True,  True,  True,  True,  True,  True,
        True, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False, False, False, False, False, False, False, False, False,
       False])
    • A1HCent
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [0.000600, 0.000600, ..., 0.000600, 0.000600]
    • A1HGap
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [19.999201, 19.999201, ..., 19.999201, 19.999201]
    • A1VCent
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-0.001650, -0.001650, ..., -0.001650, -0.001650]
    • A1VGap
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [20.000500, 20.000500, ..., 20.000500, 20.000500]
    • Ana_Arc
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [0.000000, 0.000000, ..., 0.000000, 0.000000]
    • Ana_Trans
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [0.000000, 0.000000, ..., 0.000000, 0.000000]
    • BenchLift
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [0.000000, 0.000000, ..., 0.000000, 0.000000]
    • BenchStatus
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [0.000000, 0.000000, ..., 0.000000, 0.000000]
    • Bench_Rot
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [89.998398, 89.998398, ..., 89.998398, 89.998398]
    • BlockhouseVacuum
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [0.650000, 0.650000, ..., 0.650000, 0.650000]
    • CJHCent
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-0.000350, -0.000350, ..., -0.000350, -0.000350]
    • CJHGap
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [34.999100, 34.999100, ..., 34.999100, 34.999100]
    • CJVCent
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [0.002150, 0.002150, ..., 0.002150, 0.002150]
    • CJVGap
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [34.990898, 34.990898, ..., 34.990898, 34.990898]
    • ChangerTranslation
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-251.000000, -251.000000, ..., -251.000000, -251.000000]
    • Chi
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-0.099956, -0.099956, ..., -0.099956, -0.099956]
    • CoarseZ
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-125.000000, -125.000000, ..., -125.000000, -125.000000]
    • DCMagField1
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-0.002000, -0.002000, ..., -0.002000, -0.002000]
    • DCMagField2
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [0.000000, 0.000000, ..., 0.000000, 0.000000]
    • DCMagField3
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-1.085000, -1.085000, ..., -1.085000, -1.085000]
    • DCMagField4
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-1.752000, -1.752000, ..., -1.752000, -1.752000]
    • EPICS_PUTLOG
      ()
      DataArray
      {dims=[time: 5], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 5}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:12.000000000, 2019-12-16T17:53:31.000000000, ..., 2019-12-16T17:53:48.000000000, 2019-12-16T17:53:48.000000000]
Data:
                            string     [dimensionless]  (time)  ["Changed PV: IN:LARMOR:DAE:ENDRUN new=1 old=0     ", "Changed PV: IN:LARMOR:DAE:TITLE:SP new=76 old=83 ", ..., "Changed PV: IN:LARMOR:DAE:BEGINRUN new=1 old=1   ", "Changed PV: IN:LARMOR:DAE:ENDSEWAIT new=1 old=1  "]
    • Echo_Coil
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [0.000000, 0.000000, ..., 0.000000, 0.000000]
    • Echo_Coil_SP
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [0.000000, 0.000000, ..., 0.000000, 0.000000]
    • FineZ
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [0.161000, 0.161000, ..., 0.161000, 0.161000]
    • ICP_DAE_TD
      ()
      DataArray
      {dims=[time: 16], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 16}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:29.000000000, 2019-12-16T17:53:29.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [46520.398438, 46520.398438, ..., 46520.398438, 46520.398438]
    • ICP_SYS_TD
      ()
      DataArray
      {dims=[time: 16], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 16}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:29.000000000, 2019-12-16T17:53:29.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-3.272500, -3.272500, ..., -3.272500, -3.272500]
    • IncidentVacuum
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [0.002800, 0.002800, ..., 0.002800, 0.002800]
    • InstrumentDiskPhase
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [2450.000000, 2450.000000, ..., 2450.000000, 2450.000000]
    • M3Height
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-0.000025, -0.000025, ..., -0.000025, -0.000025]
    • M4Trans
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [0.002400, 0.002400, ..., 0.002400, 0.002400]
    • Mag1_Theta
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-63.420803, -63.420803, ..., -63.420803, -63.420803]
    • Mag1_Tx0
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [3399.998535, 3399.998535, ..., 3399.998535, 3399.998535]
    • Mag1_Ty1
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-302.004730, -302.004730, ..., -302.004791, -302.004791]
    • Mag1_Ty2
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [302.002960, 302.002960, ..., 302.002960, 302.002960]
    • Mag2_Theta
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-63.406376, -63.406376, ..., -63.406376, -63.406376]
    • Mag2_Tx0
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [2300.013672, 2300.013672, ..., 2300.013672, 2300.013672]
    • Mag2_Ty1
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-307.008453, -307.008453, ..., -307.008453, -307.008453]
    • Mag2_Ty2
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [308.001160, 308.001160, ..., 308.001190, 308.001190]
    • Mag3_Theta
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-63.020290, -63.020290, ..., -63.020290, -63.020290]
    • Mag3_Tx0
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-1130.002197, -1130.002197, ..., -1130.002197, -1130.002197]
    • Mag3_Ty1
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-370.004608, -370.004608, ..., -370.004608, -370.004608]
    • Mag3_Ty2
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [370.003387, 370.003387, ..., 370.003387, 370.003387]
    • Mag4_Theta
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-63.020111, -63.020111, ..., -63.020111, -63.020111]
    • Mag4_Tx0
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-1800.000244, -1800.000244, ..., -1800.000244, -1800.000244]
    • Mag4_Ty1
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-370.009460, -370.009460, ..., -370.009491, -370.009491]
    • Mag4_Ty2
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [369.999390, 369.999390, ..., 369.999390, 369.999390]
    • Moderator_Temp
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [17.879999, 17.879999, ..., 17.879999, 17.879999]
    • Pol_Position
      ()
      DataArray
      {dims=[time: 2], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 2}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:51.000000000]
Data:
                            string     [dimensionless]  (time)  ["FOM", "FOM"]
    • Psi
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-0.348938, -0.348938, ..., -0.348938, -0.348938]
    • RFCoilTemp1
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [21.499756, 21.499756, ..., 21.494925, 21.494925]
    • RFCoilTemp2
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [21.771128, 21.771128, ..., 21.762672, 21.762672]
    • RFCoilTemp3
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [23.484751, 23.484751, ..., 23.466646, 23.466646]
    • RFCoilTemp4
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [26.476938, 26.476938, ..., 26.457626, 26.457626]
    • S1HCent
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [0.003400, 0.003400, ..., 0.003400, 0.003400]
    • S1HGap
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [13.001600, 13.001600, ..., 13.001600, 13.001600]
    • S1VCent
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-0.002500, -0.002500, ..., -0.002500, -0.002500]
    • S1VGap
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [13.007600, 13.007600, ..., 13.007600, 13.007600]
    • S2HCent
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-0.001500, -0.001500, ..., -0.001500, -0.001500]
    • S2HGap
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-0.000800, -0.000800, ..., -0.000800, -0.000800]
    • S2VCent
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-0.000500, -0.000500, ..., -0.000500, -0.000500]
    • S2VGap
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-0.000600, -0.000600, ..., -0.000600, -0.000600]
    • SANSTank_Vacuum
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [0.030000, 0.030000, ..., 0.030000, 0.030000]
    • SamplePos
      ()
      DataArray
      {dims=[time: 2], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 2}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:51.000000000]
Data:
                            string     [dimensionless]  (time)  ["CT", "CT"]
    • SampleX
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [15.004000, 15.004000, ..., 15.004000, 15.004000]
    • ShutterPosition
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [1.000000, 1.000000, ..., 1.000000, 1.000000]
    • SimL1
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [800.000000, 800.000000, ..., 800.000000, 800.000000]
    • SimL2
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [800.000000, 800.000000, ..., 800.000000, 800.000000]
    • SimPSO
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [100.000000, 100.000000, ..., 100.000000, 100.000000]
    • SimTheta
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-20.000000, -20.000000, ..., -20.000000, -20.000000]
    • T0Phase
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [0.000000, 0.000000, ..., 0.000000, 0.000000]
    • TargetDiskPhase
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [2750.000000, 2750.000000, ..., 2750.000000, 2750.000000]
    • Theta
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-0.003015, -0.003015, ..., -0.003015, -0.003015]
    • Translation
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-0.893000, -0.893000, ..., -0.893000, -0.893000]
    • a2_height
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [16.830000, 16.830000, ..., 16.830000, 16.830000]
    • a2_trans
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [11.680000, 11.680000, ..., 11.680000, 11.680000]
    • count_rate
      ()
      DataArray
      {dims=[time: 24], unit=counts, coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:29.000000000, 2019-12-16T17:53:29.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [counts]         (time)  [0.000000, 0.000000, ..., 0.000000, 0.000000]
    • current_period
      ()
      int64
      1
      Values:
      array(1)
    • dae_beam_current
      ()
      DataArray
      {dims=[time: 24], unit=µAh, coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:29.000000000, 2019-12-16T17:53:29.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [µAh]           (time)  [0.000000, 0.000000, ..., 175.565994, 175.565994]
    • dmp
      ()
      int64
      0
      Values:
      array(0)
    • dmp_freq
      ()
      int64
      0
      Values:
      array(0)
    • dmp_units
      ()
      int64
      0
      Values:
      array(0)
    • dur
      ()
      int64
      56
      Values:
      array(56)
    • dur_freq
      ()
      int64
      0
      Values:
      array(0)
    • dur_secs
      ()
      int64
      7
      Values:
      array(7)
    • dur_wanted
      ()
      int64
      0
      Values:
      array(0)
    • durunits
      ()
      int64
      1
      Values:
      array(1)
    • end_time
      ()
      string
      2019-12-18T18:36:41
      Values:
      '2019-12-18T18:36:41'
    • flipper_onoff
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [1.000000, 1.000000, ..., 1.000000, 1.000000]
    • freq
      ()
      int64
      1
      Values:
      array(1)
    • gd_prtn_chrg
      ()
      float64
      2.750211238861084
      Values:
      array(2.75021124)
    • good_frames
      ()
      DataArray
      {dims=[time: 2], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 2}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:29.000000000, 2019-12-16T17:53:57.000000000]
Data:
                            int32      [dimensionless]  (time)  [1461, 258]
    • good_uah_log
      ()
      DataArray
      {dims=[time: 24], unit=µAh, coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:29.000000000, 2019-12-16T17:53:29.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [µAh]           (time)  [1.460050, 1.460050, ..., 0.257832, 0.257832]
    • goodfrm
      ()
      int64
      2752
      Values:
      array(2752)
    • icp_event
      ()
      DataArray
      {dims=[time: 5], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 5}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:49.000000000, 2019-12-16T17:53:49.000000000, ..., 2019-12-16T17:53:56.000000000, 2019-12-16T17:53:56.000000000]
Data:
                            string     [dimensionless]  (time)  ["CHANGE_PERIOD 1                                           ", "START_COLLECTION PERIOD 1 GF 0 RF 0 GUAH 0.000000         ", ..., "STOP_COLLECTION PERIOD 1 GF 344 RF 344 GUAH 0.343776 DUR 7", "END                                                       "]
    • instrument_name
      ()
      string
      LARMOR
      Values:
      'LARMOR'
    • is_running
      ()
      DataArray
      {dims=[time: 2], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 2}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:29.000000000, 2019-12-16T17:53:57.000000000]
Data:
                            int32      [dimensionless]  (time)  [0, 0]
    • is_waiting
      ()
      DataArray
      {dims=[time: 2], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 2}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:29.000000000, 2019-12-16T17:53:57.000000000]
Data:
                            int32      [dimensionless]  (time)  [0, 0]
    • measurement_id
      ()
      string
      0
      Values:
      '0'
    • measurement_label
      ()
      string
      Values:
      ''
    • measurement_subid
      ()
      string
      0
      Values:
      '0'
    • measurement_type
      ()
      string
      sans
      Values:
      'sans'
    • mon_sum1
      ()
      int64
      0
      Values:
      array(0)
    • mon_sum2
      ()
      int64
      0
      Values:
      array(0)
    • mon_sum3
      ()
      int64
      0
      Values:
      array(0)
    • monitor1
      ()
      DataArray
      {dims=[tof: 1000], unit=counts, coords=[sample_position, position, tof, source_position]}
      Values:
      <scipp.DataArray>
Dimensions: {{tof, 1000}}
Coordinates:
  position                  vector_3_float64  [m]              ()  [(0.000000, 0.000000, 9.819500)]
  sample_position           vector_3_float64  [m]              ()  [(0.000000, 0.000000, 25.300000)]
  source_position           vector_3_float64  [m]              ()  [(0.000000, 0.000000, 0.000000)]
  tof                       float64    [µs]            (tof [bin-edge])  [5.000000, 105.000000, ..., 99905.000000, 100000.000000]
Data:
                            float64    [counts]         (tof)  [287.000000, 147.000000, ..., 14.000000, 3986.000000]  [287.000000, 147.000000, ..., 14.000000, 3986.000000]
Attributes:
  instrument_name           string     [dimensionless]  ()  ["LARMOR"]
  spectrum                  int32      [dimensionless]  ()  [1]
    • monitor2
      ()
      DataArray
      {dims=[tof: 1000], unit=counts, coords=[sample_position, position, tof, source_position]}
      Values:
      <scipp.DataArray>
Dimensions: {{tof, 1000}}
Coordinates:
  position                  vector_3_float64  [m]              ()  [(0.000000, 0.000000, 20.313000)]
  sample_position           vector_3_float64  [m]              ()  [(0.000000, 0.000000, 25.300000)]
  source_position           vector_3_float64  [m]              ()  [(0.000000, 0.000000, 0.000000)]
  tof                       float64    [µs]            (tof [bin-edge])  [5.000000, 105.000000, ..., 99905.000000, 100000.000000]
Data:
                            float64    [counts]         (tof)  [6.000000, 11.000000, ..., 4.000000, 8.000000]  [6.000000, 11.000000, ..., 4.000000, 8.000000]
Attributes:
  instrument_name           string     [dimensionless]  ()  ["LARMOR"]
  spectrum                  int32      [dimensionless]  ()  [2]
    • monitor3
      ()
      DataArray
      {dims=[tof: 1000], unit=counts, coords=[sample_position, position, tof, source_position]}
      Values:
      <scipp.DataArray>
Dimensions: {{tof, 1000}}
Coordinates:
  position                  vector_3_float64  [m]              ()  [(0.000000, 0.000000, 24.056000)]
  sample_position           vector_3_float64  [m]              ()  [(0.000000, 0.000000, 25.300000)]
  source_position           vector_3_float64  [m]              ()  [(0.000000, 0.000000, 0.000000)]
  tof                       float64    [µs]            (tof [bin-edge])  [5.000000, 105.000000, ..., 99905.000000, 100000.000000]
Data:
                            float64    [counts]         (tof)  [0.000000, 0.000000, ..., 0.000000, 0.000000]  [0.000000, 0.000000, ..., 0.000000, 0.000000]
Attributes:
  instrument_name           string     [dimensionless]  ()  ["LARMOR"]
  spectrum                  int32      [dimensionless]  ()  [3]
    • monitor4
      ()
      DataArray
      {dims=[tof: 1000], unit=counts, coords=[sample_position, position, tof, source_position]}
      Values:
      <scipp.DataArray>
Dimensions: {{tof, 1000}}
Coordinates:
  position                  vector_3_float64  [m]              ()  [(0.000000, 0.000000, 25.760000)]
  sample_position           vector_3_float64  [m]              ()  [(0.000000, 0.000000, 25.300000)]
  source_position           vector_3_float64  [m]              ()  [(0.000000, 0.000000, 0.000000)]
  tof                       float64    [µs]            (tof [bin-edge])  [5.000000, 105.000000, ..., 99905.000000, 100000.000000]
Data:
                            float64    [counts]         (tof)  [28.000000, 34.000000, ..., 11.000000, 25.000000]  [28.000000, 34.000000, ..., 11.000000, 25.000000]
Attributes:
  instrument_name           string     [dimensionless]  ()  ["LARMOR"]
  spectrum                  int32      [dimensionless]  ()  [4]
    • monitor5
      ()
      DataArray
      {dims=[tof: 1000], unit=counts, coords=[sample_position, position, tof, source_position]}
      Values:
      <scipp.DataArray>
Dimensions: {{tof, 1000}}
Coordinates:
  position                  vector_3_float64  [m]              ()  [(0.000000, 0.000000, 29.650000)]
  sample_position           vector_3_float64  [m]              ()  [(0.000000, 0.000000, 25.300000)]
  source_position           vector_3_float64  [m]              ()  [(0.000000, 0.000000, 0.000000)]
  tof                       float64    [µs]            (tof [bin-edge])  [5.000000, 105.000000, ..., 99905.000000, 100000.000000]
Data:
                            float64    [counts]         (tof)  [0.000000, 0.000000, ..., 0.000000, 0.000000]  [0.000000, 0.000000, ..., 0.000000, 0.000000]
Attributes:
  instrument_name           string     [dimensionless]  ()  ["LARMOR"]
  spectrum                  int32      [dimensionless]  ()  [5]
    • monitor_sum_1
      ()
      DataArray
      {dims=[time: 2], unit=counts, coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 2}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:29.000000000, 2019-12-16T17:53:57.000000000]
Data:
                            int32      [counts]         (time)  [0, 0]
    • nchannels
      ()
      int64
      1000
      Values:
      array(1000)
    • np_ratio
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:29.000000000, 2019-12-16T17:53:29.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [0.000000, 0.000000, ..., 0.000000, 0.000000]
    • nperiods
      ()
      int64
      1
      Values:
      array(1)
    • nspectra
      ()
      int64
      114698
      Values:
      array(114698)
    • period
      ()
      DataArray
      {dims=[time: 2], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 2}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:29.000000000, 2019-12-16T17:53:57.000000000]
Data:
                            int32      [dimensionless]  (time)  [1, 1]
    • period 1
      ()
      DataArray
      {dims=[time: 1], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 1}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:49.000000000]
Data:
                            bool       [dimensionless]  (time)  [True]
    • periods
      ()
      DataArray
      {dims=[time: 1], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 1}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:49.000000000]
Data:
                            int32      [dimensionless]  (time)  [1]
    • placeholder monitor
      ()
      DataArray
      {dims=[tof: 1000], unit=counts, coords=[sample_position, position, tof, source_position]}
      Values:
      <scipp.DataArray>
Dimensions: {{tof, 1000}}
Coordinates:
  position                  vector_3_float64  [m]              ()  [(0.000000, 0.000000, 0.000000)]
  sample_position           vector_3_float64  [m]              ()  [(0.000000, 0.000000, 25.300000)]
  source_position           vector_3_float64  [m]              ()  [(0.000000, 0.000000, 0.000000)]
  tof                       float64    [µs]            (tof [bin-edge])  [5.000000, 105.000000, ..., 99905.000000, 100000.000000]
Data:
                            float64    [counts]         (tof)  [0.000000, 0.000000, ..., 0.000000, 0.000000]  [0.000000, 0.000000, ..., 0.000000, 0.000000]
Attributes:
  instrument_name           string     [dimensionless]  ()  ["LARMOR"]
  spectrum                  int32      [dimensionless]  ()  [10]
    • pol_arc
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-0.083941, -0.083941, ..., -0.083941, -0.083941]
    • pol_trans
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [0.000000, 0.000000, ..., 0.000000, 0.000000]
    • proton_charge_by_period
      ()
      float64
      0.3437764048576355
      Values:
      array(0.3437764)
    • raw_frames
      ()
      DataArray
      {dims=[time: 2], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 2}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:29.000000000, 2019-12-16T17:53:57.000000000]
Data:
                            int32      [dimensionless]  (time)  [1461, 258]
    • raw_uah_log
      ()
      DataArray
      {dims=[time: 24], unit=µAh, coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:29.000000000, 2019-12-16T17:53:29.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [µAh]           (time)  [1.460050, 1.460050, ..., 0.257832, 0.257832]
    • rawfrm
      ()
      int64
      2752
      Values:
      array(2752)
    • rb_proposal
      ()
      int64
      1930522
      Values:
      array(1930522)
    • run_end
      ()
      string
      2019-12-18T18:36:41
      Values:
      '2019-12-18T18:36:41'
    • run_header
      ()
      string
      LAR 49293 Dalgliesh,Raspino,Ho LOKI Detector Test Dumm 16-DEC-2019 17:53:49 0.34
      Values:
      'LAR 49293 Dalgliesh,Raspino,Ho  LOKI Detector Test Dumm 16-DEC-2019  17:53:49     0.34'
    • run_number
      ()
      string
      49338
      Values:
      '49338'
    • run_start
      ()
      string
      2019-12-18T17:36:11
      Values:
      '2019-12-18T17:36:11'
    • run_status
      ()
      DataArray
      {dims=[time: 2], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 2}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:29.000000000, 2019-12-16T17:53:57.000000000]
Data:
                            int32      [dimensionless]  (time)  [1, 1]
    • run_title
      ()
      string
      RT1 a1=20x20 a2=6x8mm_SANS
      Values:
      'RT1 a1=20x20 a2=6x8mm_SANS'
    • running
      ()
      DataArray
      {dims=[time: 2], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 2}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:49.000000000, 2019-12-16T17:53:56.000000000]
Data:
                            bool       [dimensionless]  (time)  [True, False]
    • s2south
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-0.000200, -0.000200, ..., -0.000200, -0.000200]
    • sample
      ()
      PyObject
      <mantid.api._api.Sample object at 0x7fdd77e22030>
      Values:
      <mantid.api._api.Sample object at 0x7fdd77e22030>
    • smc100_1
      ()
      DataArray
      {dims=[time: 24], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 24}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [-125.000000, -125.000000, ..., -125.000000, -125.000000]
    • spinflipper_curr
      ()
      DataArray
      {dims=[time: 184], coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 184}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:14.000000000, 2019-12-16T17:53:14.000000000, ..., 2019-12-19T22:22:32.000000000, 2019-12-20T03:26:14.000000000]
Data:
                            float64    [dimensionless]  (time)  [5.900000, 5.800000, ..., 5.900000, 5.900000]
    • start_time
      ()
      string
      2019-12-18T17:36:11
      Values:
      '2019-12-18T17:36:11'
    • tot_prtn_chrg
      ()
      float64
      2.750211238861084
      Values:
      array(2.75021124)
    • total_counts
      ()
      DataArray
      {dims=[time: 2], unit=counts, coords=[time]}
      Values:
      <scipp.DataArray>
Dimensions: {{time, 2}}
Coordinates:
  time                      datetime64  [ns]             (time)  [2019-12-16T17:53:29.000000000, 2019-12-16T17:53:57.000000000]
Data:
                            int32      [counts]         (time)  [0, 0]


[5]:

data.plot()

[6]:

tof = data.coords['tof']
data.masks['prompt-pulse'] = (tof['tof',:-1] > 17500.0 * sc.units.us) & (tof['tof',1:] < 19000.0 * sc.units.us)
sc.plot({'before':counts, 'after':sc.sum(data, 'tof')})

Exercise 2: Masking spatially

By masking an x range, mask the end of the tubes. - Define x = sc.geometry.x(data.coords['position']) to extract only the x-component of the position coordinate. - Create the masks. - Use the instrument view (sc.neutron.instrument_view(data)) to inspect the result.

[7]:

x = sc.geometry.x(data.coords['position'])
data.masks['tube-ends'] = x < -0.2 * sc.units.m
scn.instrument_view(sc.sum(data, 'tof'), norm='log') # sum and norm are optional

Exercise 3: Combining conditions

Mask the broken pixels with zero counts near the beam stop (center). - Note that there are pixels at larger scattering angles (larger x) which have real zeros. These should not be masked. - Combine the condition for zero counts with a spatial mask, e.g., based on x, to ensure the mask takes only effect close to the direct beam / beam stop.

[8]:

# This would mask too much, what needs to be added?
counts.data == 0.0 * sc.units.counts

[8]:
Show/Hide data repr Show/Hide attributes
scipp.Variable (112.00 KB)
    • (spectrum: 114688)
      bool
      True, True, ..., False, True
      Values:
      array([ True,  True,  True, ..., False, False,  True])
[9]:

broken = (counts.data == 0.0 * sc.units.counts) & (sc.abs(x) < 0.1 * sc.units.m)
data.masks['bad-pixels'] = broken
scn.instrument_view(sc.sum(data, 'tof'), norm='log') # sum and norm are optional

Exercise 4: More spatial masking

Pick one (or more, if desired):

  • Mask a “circle” (in \(x\)-\(y\) plane, i.e., a cylinder aligned with \(\hat z\))

  • Mask a ring based on \(x\) and \(y\)

  • Mask a scattering-angle (\(\theta\)) range. Hint: The scattering angle can be computed as theta = 0.5 * scn.two_theta(data)

  • Mask a wedge. Hint: phi = sc.atan2(y,x)

[10]:

pos = data.coords['position']
x = sc.geometry.x(pos)
y = sc.geometry.y(pos)
z = sc.geometry.z(pos)

# could use offsets x0 and y0 to mask away from z axis
r = sc.sqrt(x*x + y*y)
data.masks['circle'] = r < 0.09 * sc.units.m

data.masks['ring'] = (0.14 * sc.units.m < r) & (r < 0.19 * sc.units.m)

theta = 0.5 * scn.two_theta(data)
data.masks['theta'] = (0.03 * sc.units.rad < theta) & (theta < 0.04 * sc.units.rad)

phi = sc.atan2(y,x) * ((180.0 * sc.units.deg) / (np.pi * sc.units.rad))
data.masks['wedge'] = (10.0 * sc.units.deg < phi) & (phi < 20.0 * sc.units.deg)

scn.instrument_view(sc.sum(data, 'tof'), norm='log')

Bonus exercise: Generalize techniques learned for masking for grouping

  • Adapt the code for masking a wedge to return an integer sector index (e.g, 0…5).

  • Store the result as a coordinate.

  • Use groupby to group by sector. Note that sc.groupby(...).copy(group) can be used to extract a given group by index, instead of applying reductions.

Masks in (grouped) reduction operations

Finally, let us group according to scattering angle and sum spectra. Questions: - Can you see the effect of the circle/ring/theta-range that you masked above? - Why is the prompt-pulse mask preserved, but not the other masks?

[11]:

theta_edges = sc.array(dims=['theta'], unit='rad', values=np.linspace(0, 0.1, num=100))
data.coords['theta'] = 0.5 * scn.two_theta(data)
# - prompt-pulse mask is preserved since we did not sum over time-of-flight.
# - Masked pixels (spectra) cannot be preserved since we sum over spectra,
#   and the sum simply skips the masked spectra.
sc.groupby(data, group='theta', bins=theta_edges).sum('spectrum').plot()